Rebecca Hwa
Biographic Data
| ID | 5541259 |
|---|---|
| NAME | Rebecca Hwa |
| GIVEN NAMES | Rebecca |
| FAMILY NAME | Hwa |
| SIGNATURE | HWA R |
| AFFILIATIONS | University of Pittsburgh |
| ORCID | 0000-0003-1158-7014 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2004 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Association Between Medicare’s Sepsis Reporting Policy (SEP-1) and the Documentation of a Sepsis Diagnosis in the Clinical Record
STUDY DESIGN: Interrupted time series analysis of a retrospective, electronic health record cohort. OBJECTIVE: To determine the association between the implementation of Medicare's sepsis reporting measure (SEP-1) and sepsis diagnosis rates as assessed in clinical documentation. BACKGROUND: The role of health policy in the effort to improve sepsis diagnosis remains unclear. PATIENTS AND METHODS: Adult patients hospitalized with suspected infectio…
Sample Selection for Statistical Parsing
Corpus-based statistical parsing relies on using large quantities of annotated text as training examples. Building this kind of resource is expensive and labor-intensive. This work proposes to use sample selection to find helpful training examples and reduce human effort spent on annotating less informative ones. We consider several criteria for predicting whether unlabeled data might be a helpful training example. Experiments are performed acros…
Sample Selection for Statistical Parsing
Corpus-based statistical parsing relies on using large quantities of annotated text as training examples. Building this kind of resource is expensive and labor-intensive. This work proposes to use sample selection to find helpful training examples and reduce human effort spent on annotating less informative ones. We consider several criteria for predicting whether unlabeled data might be a helpful training example. Experiments are performed acros…
Sample Selection for Statistical Parsing
Corpus-based statistical parsing relies on using large quantities of annotated text as training examples. Building this kind of resource is expensive and labor-intensive. This work proposes to use sample selection to find helpful training examples and reduce human effort spent on annotating less informative ones. We consider several criteria for predicting whether unlabeled data might be a helpful training example. Experiments are performed acros…
Association Between Medicare’s Sepsis Reporting Policy (SEP-1) and the Documentation of a Sepsis Diagnosis in the Clinical Record
STUDY DESIGN: Interrupted time series analysis of a retrospective, electronic health record cohort. OBJECTIVE: To determine the association between the implementation of Medicare's sepsis reporting measure (SEP-1) and sepsis diagnosis rates as assessed in clinical documentation. BACKGROUND: The role of health policy in the effort to improve sepsis diagnosis remains unclear. PATIENTS AND METHODS: Adult patients hospitalized with suspected infectio…
Algorithms and Data Compression (1 work) · Artificial Intelligence (1 work) · Cohort (1 work) · Cohort study (1 work) · Computer Science (1 work) · Diagnosis code (1 work) · Emergency department (1 work) · Emergency Medicine (1 work) · Emergency Medicine (1 work) · Intensive care medicine (1 work)